Information data fusion and computer network defense

Mark Ballora, Nicklaus A. Giacobe, Michael McNeese, David L. Hall

Research output: Chapter in Book/Report/Conference proceedingChapter

9 Scopus citations

Abstract

Computer networks no longer simply enable military and civilian operations, but have become vital infrastructures for all types of operations ranging from sensing and command/control to logistics, power distribution, and many other functions. Consequently, network attacks have become weapons of choice for adversaries engaged in asymmetric warfare. Traditionally, data and information fusion techniques were developed to improve situational awareness and threat assessment by combining data from diverse sources, and have recently been extended to include both physical ("hard") sensors and human observers (acting as "soft" sensors). This chapter provides an introduction to traditional data fusion models and adapts them to the domain of cyber security. Recent advances in hard and soft information fusion are summarized and applied to the cyber security domain. Research on the use of sound for human-in-the-loop pattern recognition (sonification) is also introduced. Finally, perspectives are provided on the future for data fusion in cyber security research.

Original languageEnglish (US)
Title of host publicationSituational Awareness in Computer Network Defense
Subtitle of host publicationPrinciples, Methods and Applications
PublisherIGI Global
Pages141-164
Number of pages24
ISBN (Print)9781466601048
DOIs
StatePublished - 2012

All Science Journal Classification (ASJC) codes

  • General Computer Science

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